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BigCodeBench / BigCodeBench v0.1.0_hf 01444319-d5b7-52b3-9864-f138d2406338

Problem

Answer published by the source. Consult the official source to check your work against its answer.

complete prompt

from collections import Counter
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns


def task_func(list_of_menuitems):
    """
    Given a nested list of menu items, this function flattens the list and visualizes the frequency
    of each menu item using a seaborn barplot.

    Parameters:
        list_of_menuitems (list): A nested list of menu items.

    Returns:
        matplotlib.axes.Axes: An Axes object representing the visualization, or None if there are no items to plot.

    Requirements:
        - collections
        - seaborn
        - pandas
        - matplotlib

    Example:
        >>> ax = task_func([['Pizza', 'Burger'], ['Pizza', 'Coke'], ['Pasta', 'Coke']])
        >>> isinstance(ax, matplotlib.axes.Axes)
        True
    """

instruct prompt

Given a nested list of menu items, this function flattens the list and visualizes the frequency of each menu item using a seaborn barplot.
The function should output with:
    matplotlib.axes.Axes: An Axes object representing the visualization, or None if there are no items to plot.
You should write self-contained code starting with:

Code

from collections import Counter
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
def task_func(list_of_menuitems):

code prompt

Code

from collections import Counter
import matplotlib.pyplot as plt
import pandas as pd
import seaborn as sns
def task_func(list_of_menuitems):

entry point

task_func

libs

  • pandas
  • collections
  • matplotlib
  • seaborn

Discussion

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Source and history

task_id
01444319-d5b7-52b3-9864-f138d2406338
task_key
default--v0~2e1~2e0~5fhf--01444319-d5b7-52b3-9864-f138d2406338
task_revision_id
1
config / split
default / v0.1.0_hf

Official source

initial import